Little Dipper Processors

A SciGene Little Dipper Microarray Processor is a programmable, robotic instrument that automates the various post-hybridization processing steps used with microarrays. The Little Dipper instrument improves data quality by eliminating sample handling and by controlling wash buffer/reagent temperatures and times, agitation rates and centrifuge/drying conditions. Each system arrives configured for your platform and programmed with recommended protocols.

for Agilent Arrays
Little Dipper™ Processor for Agilent Arrays[more]
for Illumina® BeadChips
Little Dipper™ Processor for Illumina® BeadChips[more]
for Self-Spotted Arrays
Little Dipper™ Processor for Self-Spotted Arrays[more]
for Cytogenetic
Little Dipper™ Processor for GTG Banding[more]


Testimonials
Lisa Shaffer, Ph.D., FACMG - President Signature Genomic Laboratories
Signature Genomic Laboratories from PerkinElmer - Spokane, WA, USA

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Signature Genomic Laboratories (SGL), a Perkin Elmer company, was founded in 2004 and is the first company to provide microarray-based testing for genetic anomalies in pediatrics and cancer. Our business has grown considerably over the years (an Inc. 500 fastest growing company in 2007, 2008, and 20098) to where we currently process over nearly 20,000 patient samples annually. Soon after starting the Company, we realized we needed to automate our process to accommodate our increasing sample volume while maintaining consistently high quality data. We were fortunate that SciGene was focused on engineering products to meet the unique requirements for automating the microarray workflow. We bought our first Little Dipper Processor from SciGene in 2005 to automate the laborious steps used for washing and drying our first generation BAC arrays. We acquired a second Little Dipper Processor and continued to use both after switching from BAC arrays to oligo arrays. We further improved our workflow by also incorporating the Mai Tai Hybridization and ArrayPrep systems from SciGene. Recently, in 2009, we began using the Roche NimbleGen microarray platform and again made the transition while still using the same Little Dipper Processors to wash and dry up to 100 slides per day.? To date, we have processed over?30,000 patient samples on our Little Dipper Processors. We have worked with SciGene for many years and one event that occurred highlights their commitment to product innovation and support. After moving SGL the company to a location near the railroad lines near a train station in 2007, we began experiencing problems with our array data. We ultimately traced the problem to high levels of ozone in the lab from air pollution caused by the frequent trains that passed by. Fortunately, SciGene easily solved the problem by providing us with benchtop NoZone Workspaces to filter out the ozone. Our work with SciGene ultimately resulted in a joint publication on the effects of ozone on microarrays (J. Mol. Diagnostics 11;509 (2009).


Testimonial




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